The minimum principle for time-varying hybrid systems with state switching and jumps. - Benjamin Passenberg; Marion Leibold; Olaf Stursberg; Martin Buss (CDC/ECC, 2011)

Trajectory planning for manipulators based on the optimal concatenation of LQ control primitives. - Michael Steinegger; Benjamin Passenberg; Marion Leibold; Martin Buss (CDC/ECC, 2011)

Imitating human reaching motions using physically inspired optimization principles. - Sebastian Albrecht 001; Karinne Ramirez-Amaro; Federico Ruiz-Ugalde; David Weikersdorfer; Marion Leibold; Michael Ulbrich; Michael Beetz (Humanoids, 2011)

Online stability compensation of mobile manipulators using recursive calculation of ZMP gradients. - Sohee Lee; Marion Leibold; Martin Buss; Frank C. Park 001 (ICRA, 2012)

Rollover Prevention of Mobile Manipulators using Invariance Control and Recursive analytic Zmp Gradients. - Sohee Lee; Marion Leibold; Martin Buss; Frank Chongwoo Park (Adv. Robotics, 2012)

Optimal Control for Hybrid Systems With Partitioned State Space. - Benjamin Passenberg; Peter E. Caines; Marion Leibold; Olaf Stursberg; Martin Buss (IEEE Trans. Autom. Control., 2013)

A Globally Convergent, Locally Optimal Min-H Algorithm for Hybrid Optimal Control. - Benjamin Passenberg; Marion Leibold; Olaf Stursberg; Martin Buss (SIAM J. Control. Optim., 2014)

Settling time reduction for underactuated walking robots. - Sotiris Apostolopoulos; Marion Leibold; Martin Buss (IROS, 2015)

Online motion planning over uneven terrain with walking primitives and regression. - Sotiris Apostolopoulos; Marion Leibold; Martin Buss (ICRA, 2016)

Fast and close to optimal trajectory generation for articulated robots in reaching motions. - Khoi Hoang Dinh; Philipp Weiler; Marion Leibold; Dirk Wollherr (AIM, 2017)

Protective control for robot manipulator by sliding mode based disturbance reconstruction approach. - Yiyong Sun; Zengjie Zhang; Marion Leibold; Rameez Hayat; Dirk Wollherr; Martin Buss (AIM, 2017)

Modeling and nonlinear control of antagonistically actuating pneumatic artificial muscles. - Roman Weiss; Benjamin Grossmann; Marion Leibold; Thomas Schlegl; Dirk Wollherr (AIM, 2017)

Driving strategy selection for cooperative vehicles using maneuver templates. - Stefanie Manzinger; Marion Leibold; Matthias Althoff (Intelligent Vehicles Symposium, 2017)

Energy Efficient and Robust Balancing with Motion Primitive Switching. - Sotiris Apostolopoulos; Marion Leibold; Martin Buss (Int. J. Humanoid Robotics, 2017)

Combining Stochastic and Scenario Model Predictive Control to Handle Target Vehicle Uncertainty in an Autonomous Driving Highway Scenario. - Tim Brüdigam; Michael Olbrich; Marion Leibold; Dirk Wollherr (ITSC, 2018)

Robust-Adaptive Controller Design for Robot Manipulators Using the ℋ∞ Approach. - Rameez Hayat; Marion Leibold; Martin Buss (IEEE Access, 2018)

Transitioning Between Underactuated Periodic Orbits: An Optimal Control Approach for Settling Time Reduction. - Sotiris Apostolopoulos; Marion Leibold; Martin Buss (Int. J. Humanoid Robotics, 2018)

Grid-Based Stochastic Model Predictive Control for Trajectory Planning in Uncertain Environments. - Tim Brüdigam; Fulvio di Luzio; Lucia Pallottino; Dirk Wollherr; Marion Leibold (ITSC, 2020)

Combined Robust and Stochastic Model Predictive Control for Models of Different Granularity. - Tim Brüdigam; Johannes Teutsch; Dirk Wollherr; Marion Leibold (CoRR, 2020)

Minimization of Constraint Violation Probability in Model Predictive Control. - Tim Brüdigam; Victor Gaßmann; Dirk Wollherr; Marion Leibold (CoRR, 2020)

Addressing Control Implementation Issues in Robotic Systems Using Adaptive Control. - Rameez Hayat; Marion Leibold; Martin Buss (Robotica, 2020)

Integral Sliding-Mode Observer-Based Disturbance Estimation for Euler-Lagrangian Systems. - Zengjie Zhang; Marion Leibold; Dirk Wollherr (IEEE Trans. Control. Syst. Technol., 2020)

A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. - Zhehua Zhou; Ozgur S. Oguz; Marion Leibold; Martin Buss (IEEE Trans. Robotics, 2020)

Model Predictive Control with Models of Different Granularity and a Non-uniformly Spaced Prediction Horizon. - Tim Brüdigam; Daniel Prader; Dirk Wollherr; Marion Leibold (ACC, 2021)

Multistage Stochastic Model Predictive Control for Urban Automated Driving. - Tommaso Benciolini; Tim Brüdigam; Marion Leibold (ITSC, 2021)

Collision Avoidance with Stochastic Model Predictive Control for Systems with a Twofold Uncertainty Structure. - Tim Brüdigam; Jie Zhan; Dirk Wollherr; Marion Leibold (ITSC, 2021)

Probabilistic model predictive control for extended prediction horizons. - Tim Brüdigam; Johannes Teutsch; Dirk Wollherr; Marion Leibold; Martin Buss (Autom., 2021)

Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing. - Tim Brüdigam; Alexandre Capone; Sandra Hirche; Dirk Wollherr; Marion Leibold (CoRR, 2021)

Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning. - Zhehua Zhou; Ozgur S. Oguz; Yi Ren; Marion Leibold; Martin Buss (CoRR, 2021)

Data-driven stochastic model predictive control. - Sebastian Kerz; Johannes Teutsch; Tim Brüdigam; Dirk Wollherr; Marion Leibold (CoRR, 2021)

Safe Stochastic Model Predictive Control. - Tim Brüdigam; Robert Jacumet; Dirk Wollherr; Marion Leibold (CDC, 2022)

Constraint Violation Probability Minimization for Norm-Constrained Linear Model Predictive Control. - Michael Fink; Tim Brüdigam; Dirk Wollherr; Marion Leibold (ECC, 2022)

Safe Stochastic Model Predictive Control. - Tim Brüdigam; Robert Jacumet; Dirk Wollherr; Marion Leibold; Francesco Borrelli (CoRR, 2022)

A Fast and Close-to-Optimal Receding Horizon Control for Trajectory Generation in Dynamic Environments. - Khoi Hoang Dinh; Marion Leibold; Dirk Wollherr (Robotics, 2022)

Incremental Model Predictive Control Exploiting Time-Delay Estimation for a Robot Manipulator. - Yongchao Wang; Marion Leibold; Jinoh Lee; Wenyan Ye; Jing Xie 015; Martin Buss (IEEE Trans. Control. Syst. Technol., 2022)

Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. - Ni Dang; Tao Shi; Zengjie Zhang; Wanxin Jin; Marion Leibold; Martin Buss (ITSC, 2023)

Offline Uncertainty Sampling in Data-driven Stochastic MPC. - Johannes Teutsch; Sebastian Kerz; Tim Brüdigam; Dirk Wollherr; Marion Leibold (CoRR, 2023)

An Online Adaptation Strategy for Direct Data-driven Control. - Johannes Teutsch; Sebastian Ellmaier; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CoRR, 2023)

Optimal Control for Indoor Vertical Farms Based on Crop Growth. - Annalena Daniels; Michael Fink; Marion Leibold; Dirk Wollherr; Senthold Asseng (CoRR, 2023)

Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles. - Ni Dang; Zengjie Zhang; Jizheng Liu; Marion Leibold; Martin Buss (CoRR, 2023)

Stochastic Model Predictive Control With a Safety Guarantee for Automated Driving. - Tim Brüdigam; Michael Olbrich; Dirk Wollherr; Marion Leibold (IEEE Trans. Intell. Veh., 2023)

Non-Conservative Trajectory Planning for Automated Vehicles by Estimating Intentions of Dynamic Obstacles. - Tommaso Benciolini; Dirk Wollherr; Marion Leibold (IEEE Trans. Intell. Veh., 2023)

Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. - Zhehua Zhou; Ozgur S. Oguz; Marion Leibold; Martin Buss (IEEE Trans. Neural Networks Learn. Syst., 2023)

Combining Belief Function Theory and Stochastic Model Predictive Control for Multi-Modal Uncertainty in Autonomous Driving. - Tommaso Benciolini; Yuntian Yan; Dirk Wollherr; Marion Leibold (ACC, 2024)

Adaptive Stochastic Predictive Control from Noisy Data: A Sampling-based Approach. - Johannes Teutsch; Christopher Narr; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CDC, 2024)

Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic Participants. - Tommaso Benciolini; Michael Fink; Nehir Güzelkaya; Dirk Wollherr; Marion Leibold (ITSC, 2024)

Adaptive Multi-Model Fault Diagnosis of Dynamic Systems for Motion Tracking. - Annalena Daniels; Tommaso Benciolini; Dirk Wollherr; Marion Leibold (IEEE Access, 2024)

Sampling-based Stochastic Data-driven Predictive Control under Data Uncertainty. - Johannes Teutsch; Sebastian Kerz; Dirk Wollherr; Marion Leibold (CoRR, 2024)

Stochastic Model Predictive Control With Minimal Constraint Violation Probability for Time-Variant Chance Constraints. - Michael Fink; Dirk Wollherr; Marion Leibold (IEEE Control. Syst. Lett., 2024)

Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation. - Yi Ren; Zhehua Zhou; Ziwei Xu; Yang Yang 031; Guangyao Zhai; Marion Leibold; Fenglei Ni; Zhengyou Zhang; Martin Buss; Yu Zheng 001 (IEEE Trans. Robotics, 2024)

Hierarchical Incremental MPC for Redundant Robots: A Robust and Singularity-Free Approach. - Yongchao Wang; Yang Liu; Marion Leibold; Martin Buss; Jinoh Lee (IEEE Trans. Robotics, 2024)

Minimal Constraint Violation Probability in Model Predictive Control for Linear Systems. - Michael Fink; Tim Brüdigam; Dirk Wollherr; Marion Leibold (IEEE Trans. Autom. Control., 2024)

Time-Optimal Model Predictive Control for Linear Time-Variant Systems Based on Configuration-Constrained Backward Reachability. - Michael Fink; Annalena Daniels; Dirk Wollherr; Marion Leibold (IEEE Access, 2025)

Learning-based model identification for greenhouse climate control. - Michael Fink; Annalena Daniels; Francisco García-Mañas; Francisco Rodríguez 001; Marion Leibold; Dirk Wollherr (Autom., 2025)

Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. - Tommaso Benciolini; Chen Tang 001; Marion Leibold; Catherine Weaver; Masayoshi Tomizuka; Wei Zhan (IEEE Trans. Control. Syst. Technol., 2025)